Patients frequently use YouTube as a platform for dissemination and consumption of health information. Caregivers and patients affected by idiopathic pulmonary fibrosis (IPF) are likely consumers of this information. We aimed to determine viewer engagement, quality, and content of YouTube videos on IPF and to compare the provided information with contemporaneous guidelines. We analyzed the first 200 YouTube videos resulting from the search term "idiopathic pulmonary fibrosis." Patient-directed videos containing any information on IPF were eligible. Each video was evaluated for content related to IPF features and treatments that are discussed in clinical practice guidelines, as well as nonrecommended treatments. Video quality was assessed using an adapted Health on the Net Foundation Code of Conduct (HONCode) scoring instrument and the validated DISCERN instrument (a questionnaire that evaluates the quality of consumer health information). Details of the video source and viewer engagement metrics were recorded for each video. A total of 102 videos met eligibility criteria. No videos assessed all content topics, with videos addressing a median of 17% of all potential content items that were highlighted in clinical practice guidelines. Content scores were higher in videos produced by foundations and medical organizations, news/media organizations, and independent medical professionals compared with videos produced by industry, for-profit organizations, and independent nonmedical users. Nonrecommended and/or potentially harmful therapies were described as valid and potentially beneficial treatments for IPF in 17% of videos, with higher viewership and engagement metrics for these videos. HONCode and DISCERN scores that assessed for video reliability, credibility, and quality of information, were poor for all video source types but were lower in videos posted by industry/for profit organizations and independent nonmedical users. Patient-directed YouTube videos on IPF frequently provide incomplete and inaccurate information. Videos supporting the use of nonrecommended therapies have higher viewing numbers and user engagement, highlighting the potential risks of using YouTube as a resource for health information. Physicians, professional organizations, and patient support organizations should be aware that YouTube is frequently used by patients. Developing a tool similar to HONCode that applies to YouTube videos would improve the ability to critically and rapidly appraise the quality of online video-disseminated information on IPF.
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http://dx.doi.org/10.1513/AnnalsATS.201809-644OC | DOI Listing |
Dev Psychol
January 2025
Department of Psychology, Stanford University.
Overcoming challenges to achieve success involves being able to spontaneously come up with effective strategies to address different task demands. Research has linked individual differences in such strategy generation and use to optimal development over time and greater success across many areas of life. Yet, there is surprisingly little experimental evidence that tests how we might help young children to spontaneously generate and apply effective strategies across different challenging tasks.
View Article and Find Full Text PDFCureus
December 2024
Department of Oral Medicine and Radiology, School of Dental Sciences, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad, IND.
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View Article and Find Full Text PDFJ Cardiovasc Electrophysiol
January 2025
Oxford Heart Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
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View Article and Find Full Text PDFBreast J
January 2025
Department of General Surgery, Afyonkarahisar Health Sciences University, Afyonkarahisar, Turkey.
Purpose of this study is to investigate the quality and reliability of YouTube video contents on prophylactic mastectomy. The search terms "prophylactic mastectomy," "prophylactic mastectomy surgery," "preventive surgery for breast cancer," "risk-reducing mastectomy," and "prophylactic mastectomy and breast reconstruction" were searched on YouTube. The uploader, video content, length (seconds), upload date, number of days since upload date, number of views, number of comments, and likes were recorded and evaluated.
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